An Explainable Transformer Model Integrating PET and Tabular Data for Histologic Grading and Prognosis of Follicular Lymphoma: A Multi-Institutional Digital Biopsy Study

A Transformer Model Integrating PET Imaging and Clinical Data: A Multicenter Digital Biopsy Study for Predicting Pathological Grading and Prognosis of Follicular Lymphoma Academic Background Follicular Lymphoma (FL) is the most common indolent Non-Hodgkin Lymphoma in Western countries, accounting for approximately 30% of newly diagnosed cases. Acco...

Follicular Lymphoma Comprises Germinal Center–Like and Memory-Like Molecular Subtypes with Prognostic Significance

Progress in Molecular Classification of Follicular Lymphoma: A Dual Typing Predictive Model Based on RNA Sequencing and Immunohistochemistry Follicular Lymphoma (FL) is a B-cell malignancy characterized by a slow clinical progression, with a median overall survival extending up to 20 years. However, the heterogeneous nature of FL leads to significa...